In August 2004, Peng Li joined the faculty of the Department of Electrical and Computer Engineering at Texas A&M University as an assistant professor. He was Professor of ECE from September 2015 to June 2019. He was a member of Faculty of Neuroscience and the Graduate Faculty of School of Graduate Studies, Health Science Center at Texas A&M. He received the Ph.D. degree in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA in 2003 and the M. Eng. degree in systems engineering and B.Eng. degree in information engineering from Xi’an Jiaotong University, Xi’an, China, in 1997 and 1994, respectively.

    Li’s research interests are in integrated circuits and systems, computer-aided design, brain-inspired computing, computational brain modeling, machine learning and its hardware realization in VLSI. His present work focuses on design and analysis of IC power delivery networks and voltage regulators/converters; modeling, verification and optimization of analog/mixed-signal/RF circuits; VLSI machine learning systems; brain-inspired architectures; bio-physically based modeling of nervous systems; and large-scale parallel simulation of brain models. He is a co-editor of the book, entitled “Simulation and Verification of Electronic and Biological Systems” (Springer, 2011). He has edited one additional book, authored and co-authored over 180 journal and conference publications, and six book chapters.

    His work has been recognized by various distinctions including four IEEE/ACM Design Automation Conference (DAC) Best Paper Awards in 2003, 2008, 2011, and 2016, the ISCAS Honorary Mention Best Paper Award from the Neural Systems and Applications Technical Committee of IEEE Circuits and Systems (CAS) Society at IEEE International Symposium on Circuits and Systems (ISCAS) in 2016, the IEEE/ACM William J. McCalla ICCAD Best Paper Award from IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2012, the US National Science Foundation CAREER Award in 2008, two Inventor Recognition Awards from Microelectronics Advanced Research Corporation (MARCO) in 2006 and 2007, two Semiconductor Research Corporation (SRC) Inventor Recognition Awards in 2001 and 2004, the 2013-2014 William and Montine P. Head Fellow and 2011-2012 TEES Fellow Award from the College of Engineering, Texas A&M University, the ECE Outstanding Professor Award from Texas A&M University in 2008, and several Best Paper Award nominations from ICCAD. At the 50th IEEE/ACM Design Automation Conference in 2003, he was honored with the Best Paper Hat Trick Award for receiving the prestigious DAC best paper award three times, the DAC Prolific Author Award, and the DAC Top 10 Author in Fifth Decade Award.